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BackgroundTraditional Chinese medicine (TCM) is an integral part of mainstream medicine in China, with theories and practices that are completely different from modern medicine. TCM should not be ignored or confused with modern medicine in the analysis of the Chinese health care system, including the analysis of mobile health (mHealth) apps. To date, differences between TCM apps and modern medicine apps have not be systematically investigated. ObjectiveThe aim of this study was to systematically compare the quality of apps for TCM and modern medicine in China. MethodsIn December 2020, we searched iOS (iTunes) and Android (Tencent, Oppo, and Huawei app stores) platforms for all mHealth apps and then categorized them as TCM or modern medicine apps if they were included in the final analysis. The included apps were downloaded on smartphones and assessed by 2 reviewers on the following 4 aspects: (1) data in the app stores, including user ratings, download counts, cost, target users, and year of last update; (2) functionality; (3) quality of the app content as determined by the Mobile App Rating Scale (MARS); and (4) analysis of the app privacy and security. ResultsIn total, 658 apps were analyzed, including 261 TCM medicine apps and 397 modern medicine apps. The average download count of modern medicine apps (approximately 5 million) was more than 10 times that of TCM apps (approximately 400,000). Regarding functionalities, 64.7% (257/397) of modern medicine apps provided telemedicine (74/261, 28.4% in TCM apps), 62.7% (249/397) provided registration (70/261, 26.8% in TCM apps), and 45.6% (181/397) provided communication (38/261, 14.6% in TCM apps). A larger proportion of TCM apps provided prescription and medication management (144/261, 55.2% in TCM apps versus 168/397, 42.3% in modern medicine apps). The majority of modern medicine apps (329/397, 82.9%) combined ≥3 functionalities compared with one-third of TCM apps (93/261, 34.6%). We then selected 81 top apps for quality and safety assessment (41 TCM apps and 40 modern medicine apps). Of these, the mean overall MARS score of TCM apps (2.7, SD 0.5) was significantly lower than modern medicine apps (3.6, SD 0.4). Almost all modern medicine apps (38/40, 95%) addressed privacy and security by providing a privacy policy and describing how to protect personal data, but less than half of the TCM apps (18/41, 44%) described this information (P

We aimed to study radiomics approach based on biparametric magnetic resonance imaging (MRI) for determining significant residual cancer after androgen deprivation therapy (ADT). Ninety-two post-ADT prostate cancer patients underwent MRI before prostatectomy (62 with significant residual disease and 30 with complete response or minimum residual disease [CR/MRD]). Totally, 100 significant residual, 52 CR/MRD lesions, and 70 benign tissues were selected according to pathology. First, 381 radiomics features were extracted from T2-weighted imaging, diffusion-weighted imaging, and apparent diffusion coefficient (ADC) maps. Optimal features were selected using a support vector machine with a recursive feature elimination algorithm (SVM-RFE). Then, ADC values of significant residual, CR/MRD lesions, and benign tissues were compared by one-way analysis of variance. Logistic regression was used to construct models with SVM features to differentiate between each pair of tissues. Third, the efficiencies of ADC value and radiomics models for differentiating the three tissues were assessed by area under receiver operating characteristic curve (AUC). The ADC value (mean ± standard deviation [s.d.]) of significant residual lesions ([1.10 ± 0.02] × 10-3 mm2 s-1) was significantly lower than that of CR/MRD ([1.17 ± 0.02] × 10-3 mm2 s-1), which was significantly lower than that of benign tissues ([1.30 ± 0.02] × 10-3 mm2 s-1; both P < 0.05). The SVM feature models were comparable to ADC value in distinguishing CR/MRD from benign tissue (AUC: 0.766 vs 0.792) and distinguishing residual from benign tissue (AUC: 0.825 vs 0.835) (both P > 0.05), but superior to ADC value in differentiating significant residual from CR/MRD (AUC: 0.748 vs 0.558; P = 0.041). Radiomics approach with biparametric MRI could promote the detection of significant residual prostate cancer after ADT. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to examine the level of stigma and identify the correlates of stigma among lung cancer patients in China.Methods: In total, 283 lung cancer patients were recruited from a tertiary cancer center in China by the convenience sampling method and completed a demographic, disease-related information and situational characteristics questionnaire and self-reported measures assessing stigma, state self-esteem, and coping self-efficacy.Results: The mean stigma score was moderate (2.38 ± 0.45). Stigma was significantly and negatively associated with state self-esteem (r = -0.607, P < .001) and coping self-efficacy (r = -0.424, P < .001). Multivariable linear regression showed that age, cancer stage, negative changes (ie, in financial burden, body image, and family relationship), cancer disclosure, perceived blame, state self-esteem, and coping self-efficacy accounted for 49.9% of the variance in stigma.Conclusions: Stigma is a widespread psychosocial phenomenon among patients with lung cancer in China. Health care policy-makers and professionals should pay more attention to this issue and take effective measures to address stigma among lung cancer patients by improving their state self-esteem and coping self-efficacy, encouraging cancer disclosure and providing support for adjusting to negative changes after diagnosis. [ABSTRACT FROM AUTHOR]

Hyper-immunoglobulin E syndrome (HIES) is a rare primary immunodeficiency disease, and no cases of cardiac mass have been reported.[1] A 30-year-old female presented with shortness of breath and oedema for 6 months. Positron emission tomography-CT showed an increased glucose metabolism (standardized uptake value > 20) in the atrial masses and a mass in the mediastinum. Chest computed tomography (CT) scan and transthoracic echocardiography revealed bi-atrial masses (68 × 48 mm in the right atrium, 57 × 23 mm in the left atrium), resembling an apple (the masses formed the two apple segments and the atrial septum and anterior leaflet formed the apple core and stalk, respectively) in the apical four-chamber view. [Extracted from the article]